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» Computation with imprecise probabilities
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AI
2000
Springer
15 years 6 months ago
Stochastic dynamic programming with factored representations
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
Craig Boutilier, Richard Dearden, Moisés Go...
MLQ
2007
91views more  MLQ 2007»
15 years 6 months ago
Almost everywhere domination and superhighness
Let ω denote the set of natural numbers. For functions f, g : ω → ω, we say that f is dominated by g if f(n) < g(n) for all but finitely many n ∈ ω. We consider the st...
Stephen G. Simpson
ICPPW
2009
IEEE
15 years 4 months ago
Analyzing Checkpointing Trends for Applications on the IBM Blue Gene/P System
Current petascale systems have tens of thousands of hardware components and complex system software stacks, which increase the probability of faults occurring during the lifetime ...
Harish Gapanati Naik, Rinku Gupta, Pete Beckman
PRL
2011
15 years 1 months ago
A sparse version of the ridge logistic regression for large-scale text categorization
The ridge logistic regression has successfully been used in text categorization problems and it has been shown to reach the same performance as the Support Vector Machine but with...
Sujeevan Aseervatham, Anestis Antoniadis, É...
TOG
2010
134views more  TOG 2010»
15 years 1 months ago
Unbiased, adaptive stochastic sampling for rendering inhomogeneous participating media
Realistic rendering of participating media is one of the major subjects in computer graphics. Monte Carlo techniques are widely used for realistic rendering because they provide u...
Yonghao Yue, Kei Iwasaki, Bing-Yu Chen, Yoshinori ...